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FISHNET: Financial Intelligence from Sub-querying, Harmonizing, Neural-Conditioning, Expert Swarms, and Task Planning
Financial intelligence generation from vast data sources has typically relied on traditional
methods of knowledge-graph construction or database engineering. Recently, fine-tuned …
methods of knowledge-graph construction or database engineering. Recently, fine-tuned …
Revise, Reason, and Recognize: LLM-Based Emotion Recognition via Emotion-Specific Prompts and ASR Error Correction
Annotating and recognizing speech emotion using prompt engineering has recently
emerged with the advancement of Large Language Models (LLMs), yet its efficacy and …
emerged with the advancement of Large Language Models (LLMs), yet its efficacy and …
Self-Supervised Prompt Optimization
Well-designed prompts are crucial for enhancing Large language models'(LLMs) reasoning
capabilities while aligning their outputs with task requirements across diverse domains …
capabilities while aligning their outputs with task requirements across diverse domains …
StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?
Human beings often experience stress, which can significantly influence their performance.
This study explores whether Large Language Models (LLMs) exhibit stress responses …
This study explores whether Large Language Models (LLMs) exhibit stress responses …
Boosting Self-Efficacy and Performance of Large Language Models via Verbal Efficacy Stimulations
R Chen, T Peng, X **e, D Lin, Z Cui, Z Chen - arxiv preprint arxiv …, 2025 - arxiv.org
Significant improvements have been observed in the zero-shot capabilities of the Large
Language Models (LLMs). Due to their high sensitivity to input, research has increasingly …
Language Models (LLMs). Due to their high sensitivity to input, research has increasingly …
Influence of Solution Efficiency and Valence of Instruction on Additive and Subtractive Solution Strategies in Humans and GPT-4
Generative artificial intelligences, particularly large language models (LLMs), play an
increasingly prominent role in human decision-making contexts, necessitating transparency …
increasingly prominent role in human decision-making contexts, necessitating transparency …
Enhancing the Creativity of Large Language Models through Emotional Stimuli
JH Kim, G Jeong, HS Kim - Annual Conference on Human and …, 2024 - koreascience.kr
거대 언어 모델 (LLM) 의 발전으로 인해 정형화된 작업을 넘어서 창의적인 답변을 생성하는
것이 가능해지면서, LLM 의 창의성을 평가하고 향상시키기 위한 연구가 활발히 진행되고 있다 …
것이 가능해지면서, LLM 의 창의성을 평가하고 향상시키기 위한 연구가 활발히 진행되고 있다 …